ASUS System Product Name
Geekbench AI Score
42962
Single Precision Score
59636
Half Precision Score
31670
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 02:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15600
2.90 KIPS |
|
|
Image Classification (HP)
|
99% |
20945
3.91 KIPS |
|
|
Image Classification (Q)
|
100% |
13134
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28455
461.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
36657
594.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25397
413.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
337701
394.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
572913
668.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
289639
339.4 IPS |
|
|
Object Detection (SP)
|
100% |
21186
1.68 KIPS |
|
|
Object Detection (HP)
|
100% |
28078
2.23 KIPS |
|
|
Object Detection (Q)
|
86% |
17621
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
60801
722.4 IPS |
|
|
Face Detection (HP)
|
100% |
78111
928.1 IPS |
|
|
Face Detection (Q)
|
97% |
50904
606.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
105274
811.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
171702
1.32 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75599
604.6 IPS |
|
|
Style Transfer (SP)
|
100% |
601428
773.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1195443
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
512075
660.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66006
2.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88807
3.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48114
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
4074
5.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5096
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2284
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
6516
112.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6349
109.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2754
51.6 IPS |
